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Quantum Computing Researcher (2026 Vision)

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of quantum revolution as we pioneer breakthroughs for the 2026 technological landscape. We seek a visionary Quantum Computing Researcher to decode the future of computation and solve humanity's most complex challenges. Our cross-disciplinary team operates at the intersection of physics, AI, and materials science to build scalable quantum systems that will redefine industries by 2026. This role offers unparalleled resources, including access to IBM Quantum and D-Wave systems, alongside a collaborative environment where your ideas shape tomorrow's innovations.

Responsibilities

  • Design and execute quantum algorithms for optimization and simulation problems targeting 2026 industry applications
  • Lead research in error correction techniques to achieve fault-tolerant quantum computing
  • Collaborate with AI engineers to develop hybrid quantum-classical machine learning frameworks
  • Publish breakthrough research in top-tier journals (Nature, Science, IEEE) and present at conferences
  • Mentor junior researchers and manage quantum hardware prototyping projects
  • Secure $1M+ in research funding through NSF and DARPA proposals

Qualifications

  • PhD in Physics, Computer Science, or related field with quantum specialization
  • 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
  • Published research in quantum error correction or algorithm development
  • Expertise in quantum hardware architectures (superconducting, trapped ions, photonic)
  • Strong mathematical foundations in linear algebra, group theory, and probability
  • Proven ability to translate theoretical concepts into practical implementations
  • Experience with high-performance computing environments (HPC, cloud)

Required Skills

Quantum Computing Qiskit Cirq Q# Error Correction Quantum Algorithms Machine Learning HPC Research Methodology

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